{"id":"W4398905621","doi":"10.7910/dvn/v1rjpf/embhhj","title":"cbb20171206_03.txt.gz","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Computer science; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001617654,0.0036332,0.002686567,0.006208534,0.001608378,0.006132361,0.005476604,0.004177561,0.352704],"category_scores_gemma":[0.01134802,0.001379838,0.001836298,0.01169534,0.0009256631,0.003454952,0.004369334,0.002708234,0.3998271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00272721,"about_ca_system_score_gemma":0.003317418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04588459,"about_ca_topic_score_gemma":0.05975813,"domain_scores_codex":[0.9986141,0.0002709377,0.0001298885,0.0004284714,0.0002646827,0.0002919459],"domain_scores_gemma":[0.9958771,0.001240143,0.000326429,0.0009960051,0.001041749,0.0005184703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003284292,0.000006696214,0.0001427393,0.0004411387,0.00001594894,0.000006159236,0.00001298423,0.0000887632,0.00003577653,0.0003674891,0.9983,0.0005495144],"study_design_scores_gemma":[0.0002826027,0.00001396547,0.001113373,0.0003982114,0.00002522874,0.00002231892,0.00006768431,0.000217803,0.0001887246,0.00174762,0.995889,0.00003347582],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002099414,0.00004237504,0.00002339779,0.00007217722,0.00002431329,0.000004106677,0.9988426,0.0003612243,0.0006087719],"genre_scores_gemma":[0.000183945,0.00005757142,0.0001158047,0.00009091855,0.00001246735,0.00004462389,0.9984462,0.000243875,0.0008046826],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.647296,"threshold_uncertainty_score":0.9232892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02661394808221575,"score_gpt":0.2585359350484043,"score_spread":0.2319219869661886,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}